Signifyd uses advanced machine language techniques to avoid fraudulent transactions.
Signifyd
Kount is one of the fraud prevention software. It uses a multilayer approach to detect fraudulent activities.
Kount
Forter analyzes over 200 data points to determine and prevent fraudulent transactions with a high accuracy rate.
Forter
Riskified provides real-time analytics and reporting on transaction volumes, approval rates, and fraud rates, allowing businesses to make data-driven decisions about their fraud prevention strategies.
Riskified
The Chargeback platform uses advanced algorithms to detect and prevent fraudulent activity, including friendly fraud, chargeback fraud, and affiliate fraud.
Chargeback
CyberSource uses a multi-layered approach to fraud prevention, including device fingerprinting, geolocation, and machine learning to detect and prevent fraud.
CyberSource
FraudLabs Pro uses a combination of IP address analysis, device fingerprinting, and behavioral analysis to identify fraudulent activity.
FraudLabsPro
Fattmerchant analyzes transactions in real time, using advanced algorithms to identify fraudulent activity and minimize chargebacks.
Fattmerchant
Accertify uses machine learning and behavioral analytics to detect and prevent fraud, including account takeover, shipping fraud, and payment fraud.
Accertify
Sift uses a combination of automated rules and machine learning algorithms to analyze transactions and identify fraudulent activity.